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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Harnessing artificial intelligence for sustainable rice leaf disease classification

The record

Type
Publication
Date
1 January 2025
Level
International — held abroad
Journal
Frontiers in Plant Science
Volume
16
Published
1 January 2025
DOI
10.3389/fpls.2025.1594329
Scopus ID
105018783712
ISSN
1664462X
Authors
5
Open access
Yes
Citations
10
International co-authorship
Yes
Co-author countries
IN, MY, US

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture

    GoalPrimaryHigh confidenceJudged

    AI-driven rice leaf disease classification using CNN supports crop disease early detection and food security outcomes.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  2. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-2.1 Agriculture and the rural economy

    Sub-themePrimaryHigh confidenceJudged

    Agricultural pest and disease management innovation supports sustainable agriculture and rural economy.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Harnessing artificial intelligence for sustainable rice leaf disease classification”. Kortex.

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